Christoph Baur

Computer Vision and Pattern Recognition · 2016–2020

A researcher in the Science corpus: 5 papers; trusts 161 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Christoph Baur trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Diederik P. Kingma
  4. Ian J. Goodfellow
  5. Kaiming He
  6. Jeff Donahue
  7. Individualized Treat
  8. Yoshua Bengio
  9. Yann LeCun
  10. Ross B. Girshick

Who trusts Christoph Baur overall

  1. Paul Bergmann
  2. Kilian Batzner
  3. Denis A. Gudovskiy
  4. Leixin Zhou
  5. Guodong Wang
  6. Massimo Salvi
  7. Xuan Zhang
  8. Luís Pinto-Coelho
  9. Dan Hendrycks
  10. Hideyuki Shimizu

Papers from Christoph Baur's perspective

Ordered by how strongly the researchers Christoph Baur trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers